RRepoGEO

REPOGEO REPORT · LITE

shengxinjing/email-helper

Default branch main · commit d2e27e1f · scanned 6/1/2026, 3:38:01 AM

GitHub: 721 stars · 173 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface shengxinjing/email-helper, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening sentence to clarify the project's purpose

    Why:

    CURRENT
    # EmailHelper

This project generates emails for you using AI.
    COPY-PASTE FIX
    # EmailHelper

EmailHelper is an AI-powered assistant that drafts professional business emails for you in seconds, supporting multiple languages.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, email-generator, nextjs, openai, vercel, tailwindcss, language-model, business-emails, email-drafting, generative-ai
  • mediumlicense#3
    Add a LICENSE file and mention it in the README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of the MIT License. Then, add the following line to your README, ideally near the top: `This project is open-source and available under the [MIT License](LICENSE).`

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface shengxinjing/email-helper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Llama 3 · recommended 1×
  3. Mistral · recommended 1×
  4. Falcon · recommended 1×
  5. Hugging Face Hub · recommended 1×
  • CATEGORY QUERY
    What are some open source tools for generating business emails with AI?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Llama 3
    3. Mistral
    4. Falcon
    5. Hugging Face Hub
    6. GPT-2
    7. OpenAssistant
    8. Text-Generation-WebUI (oobabooga/text-generation-webui)
    9. LangChain (langchain-ai/langchain)

    AI recommended 9 alternatives but never named shengxinjing/email-helper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI assistant to draft professional emails in multiple languages.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Google Gemini
    3. DeepL Write Pro
    4. Jasper
    5. Copy.ai

    AI recommended 5 alternatives but never named shengxinjing/email-helper. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of shengxinjing/email-helper?
    pass
    AI did not name shengxinjing/email-helper — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts shengxinjing/email-helper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shengxinjing/email-helper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo shengxinjing/email-helper solve, and who is the primary audience?
    pass
    AI named shengxinjing/email-helper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of shengxinjing/email-helper. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/shengxinjing/email-helper.svg)](https://repogeo.com/en/r/shengxinjing/email-helper)
HTML
<a href="https://repogeo.com/en/r/shengxinjing/email-helper"><img src="https://repogeo.com/badge/shengxinjing/email-helper.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

shengxinjing/email-helper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite